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Momentum Engineering

Designs secure cloud-based data architectures

Cryptologic Computer Scientist 3

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-timeFort Meade, MD, USA$135k - $185k /yrIn-person

About the Job

Requirements

  • Must have an active Top Secret/SCI clearance with NSA Full Scope Polygraph.
  • Have a Master's degree and 6 years of relevant experience, a Bachelor's degree and 8 years of relevant experience, or an Associate's degree and 10 years of in-depth relevant experience clearly related to the position.
  • Have strong Python experience.
  • Have experience using Spark.
  • Have experience working with large-scale datasets.
  • Have a strong network-analysis background.
  • Have strong protocol-analysis experience.
  • Be able to work effectively with specialized customer tools.

Responsibilities

  • Analyze large-scale datasets supporting cyber and discovery missions.
  • Develop Python-based analytical tools and automated workflows.
  • Use Apache Spark or similar technologies for distributed data processing and analysis.
  • Perform network and protocol analysis.
  • Identify patterns, anomalies, relationships, and potential cyber threats within complex datasets.
  • Use customer-specific analytical and cyber tools.
  • Develop exploratory analytical approaches to uncover new mission insights.
  • Collaborate with analysts, computer scientists, and cyber mission personnel.

Desired Qualifications

  • Have cyber threat analysis experience.
  • Have a computer science or data science background.
  • Demonstrate a discovery-oriented or investigative analytical mindset.

About the Company

Momentum Engineering

Designs secure cloud-based data architectures

Momentum Engineering builds secure, cloud-based data engineering solutions that help clients run mission-critical analytics and improve software performance. Its offerings center on designing robust data architectures and data-driven engineering methodologies, implemented through DevOps and DevSecOps practices to ensure reliable, measurable performance. The company differentiates itself by focusing on secure architectures tailored to clients' needs, rigorous evaluation and validation of data-driven approaches, and a client-focused service model with collaborative culture and profit-sharing to attract top talent. The goal is to provide dependable data infrastructure and engineering processes that enable better analytics outcomes and software reliability for engineers, analysts, developers, and instructors.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Columbia, SC
Founded
2015

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